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Training method of recommendation probability model, intelligent completion method and related device

A probabilistic model and training method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of lack of discrimination, and achieve the effect of improving the experience effect

Active Publication Date: 2020-08-07
MASHANG CONSUMER FINANCE CO LTD
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Problems solved by technology

It is matched based on literal similarity, and the recommended results are static. When the input keywords are the same, the recommended results are the same, and there is no distinction

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  • Training method of recommendation probability model, intelligent completion method and related device
  • Training method of recommendation probability model, intelligent completion method and related device
  • Training method of recommendation probability model, intelligent completion method and related device

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0027] See figure 1 , is a schematic flowchart of an embodiment of the method for training and updating the recommended probability model in the present invention. include:

[0028] Step S11: Obtain the user's historical chat information, user input information, and the user's recommendation response to the recommendati...

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Abstract

The invention provides a training method of a recommendation probability model, an intelligent completion method and a related device. The training method of the recommendation probability model comprises the steps that historical chat information of a user, input information of the user and recommendation response of the user to the current recommendation probability model are acquired to serve as an input sample set; and based on the input sample set, the recommendation probability model is trained by using a deep learning network to obtain a trained recommendation probability model. A recommendation probability model is trained by using a new sample set, so that dynamic recommendation is realized.

Description

technical field [0001] The invention relates to the technical field of intelligent devices, in particular to a training method for a recommendation probability model, an intelligent completion method and related devices. Background technique [0002] Robots have become popular products of Internet companies, including Google, Baidu, Ali, etc., have launched their own robot platforms. Robots can be used as personal assistants to help individuals solve problems such as meetings and consultations. Robots can even help companies improve efficiency and reduce costs. cost. [0003] In BOT robots, it is an important function for users to complete intelligent questions when inputting questions, and the accuracy of question completion is an important indicator of robot intelligence. [0004] In the prior art, the knowledge edited or imported by the user is mainly stored in the ES database, and then the ES search is performed according to the questions input by the end user, and the ...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/217G06F18/29G06F18/214
Inventor 李云彬韩卫强彭作聪权圣
Owner MASHANG CONSUMER FINANCE CO LTD
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